Literature DB >> 19519332

Profiling human saliva endogenous peptidome via a high throughput MALDI-TOF-TOF mass spectrometry.

Chun-Ming Huang1, Wenhong Zhu.   

Abstract

Establishment of a saliva protein/peptide signature will provide important information for clinical diagnostics and prognosis of human disease. We digested human whole saliva with trypsin to create a tryptic digest salivary peptidome. Proteins/peptides were subsequently identified by high throughput tandem mass spectrometry in conjunction with database searching. Sixty-three saliva peptides corresponding to twenty-two saliva proteins were identified. Thirty of sixty-three saliva peptides with non-specific tryptic cleavage sites were derived from proline-rich proteins, mucin 7, statherin and collagen. Several peptides derived from proline-rich proteins exhibit proline (Pro) - glutamine (Gln) C-termini (-PQ C-termini). Seven peptides with -PQ C-termini were identified in undigested whole saliva, suggesting that peptides with -PQ C-termini indigenously exist in human saliva. Peptides with -PQ C-termini are known to bind oral bacteria and exhibit properties characteristic of innate-immunity peptides. Thus, a saliva peptidome containing peptides with -PQ C-termini, as presented here, may reinforce the development of innate-immunity-related disease monitoring using non-invasive saliva samples and mass spectrometry-based techniques.

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Year:  2009        PMID: 19519332     DOI: 10.2174/138620709788489019

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  3 in total

1.  Mechanistic peptidomics: factors that dictate specificity in the formation of endogenous peptides in human milk.

Authors:  Andres Guerrero; David C Dallas; Stephanie Contreras; Sabrina Chee; Evan A Parker; Xin Sun; Lauren Dimapasoc; Daniela Barile; J Bruce German; Carlito B Lebrilla
Journal:  Mol Cell Proteomics       Date:  2014-08-29       Impact factor: 5.911

Review 2.  Bioinformatics advances in saliva diagnostics.

Authors:  Ji-Ye Ai; Barry Smith; David T W Wong
Journal:  Int J Oral Sci       Date:  2012-06       Impact factor: 6.344

3.  MALDI(+) FT-ICR Mass Spectrometry (MS) Combined with Machine Learning toward Saliva-Based Diagnostic Screening for COVID-19.

Authors:  Camila M de Almeida; Larissa C Motta; Gabriely S Folli; Wena D Marcarini; Camila A Costa; Ana C S Vilela; Valério G Barauna; Francis L Martin; Maneesh N Singh; Luciene C G Campos; Nádia L Costa; Paula F Vassallo; Andrea R Chaves; Denise C Endringer; José G Mill; Paulo R Filgueiras; Wanderson Romão
Journal:  J Proteome Res       Date:  2022-07-25       Impact factor: 5.370

  3 in total

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